Распознавание эмоций face-api-js модели не загружаются в django
''' Не удалось загрузить ресурс: сервер ответил со статусом 404 (Not Found) :8000/models/face_landmark_68_model-weights_manifest.json:1 Failed to load resource: the server responded with a status of 404 (Not Found) :8000/models/face_recognition_model-weights_manifest.json:1 Failed to load resource: the server responded with a status of 404 (Not Found) face-api.min.js:1 Uncaught (in promise) Error: failed to fetch: (404) Not Found, from url: http://127.0.0.1:8000/models/tiny_face_detector_model-weights_manifest.json. at face-api.min.js:1 at face-api.min.js:1 at Object.next (face-api.min.js:1) at n (face-api.min.js:1) (анонимный) @ face-api.min.js:1 (анонимный) @ face-api.min.js:1 (анонимный) @ face-api.min.js:1 n @ face-api.min.js:1 :8000/models/face_expression_model-weights_manifest.json:1 Failed to load resource: the server responded with a status of 404 (Not Found)'''
anyone help to solve this error to load models can i give path for inside the js file? means can we used load static in js ? if yes pleas help
''' const video = document.getElementById('video')
Promise.all([
faceapi.nets.tinyFaceDetector.loadFromUri({% static '/models' %}),
faceapi.nets.faceLandmark68Net.loadFromUri({% static '/models' %}),
faceapi.nets.faceRecognitionNet.loadFromUri({% static '/models' %}),
faceapi.nets.faceExpressionNet.loadFromUri({% static '/models' %})
]).then(startVideo)
function startVideo() {
navigator.getUserMedia(
{ video: {} },
stream => video.srcObject = stream,
err => console.error(err)
)
}
video.addEventListener('play', () => {
const canvas = faceapi.createCanvasFromMedia(video)
document.body.append(canvas)
const displaySize = { width: video.width, height: video.height }
faceapi.matchDimensions(canvas, displaySize)
setInterval(async () => {
const detections = await faceapi.detectAllFaces(video, new faceapi.TinyFaceDetectorOptions()).withFaceLandmarks().withFaceExpressions()
const resizedDetections = faceapi.resizeResults(detections, displaySize)
canvas.getContext('2d').clearRect(0, 0, canvas.width, canvas.height)
faceapi.draw.drawDetections(canvas, resizedDetections)
faceapi.draw.drawFaceLandmarks(canvas, resizedDetections)
faceapi.draw.drawFaceExpressions(canvas, resizedDetections)
}, 100)
})'''
[enter image description here][1]
[1]: https://i.stack.imgur.com/BDUIC.jpg